

    \filetitle{uncmean}{Unconditional-mean dummy (or Sims' initial dummy) observations for BVARs}{BVAR/uncmean}

	\paragraph{Syntax}\label{syntax}

\begin{verbatim}
O = BVAR.uncmean(YBar,Mu)
\end{verbatim}

\paragraph{Input arguments}\label{input-arguments}

\begin{itemize}
\item
  \texttt{YBar} {[} numeric {]} - Vector of unconditional means imposed
  as priors.
\item
  \texttt{Mu} {[} numeric {]} - Weight on the dummy observations.
\end{itemize}

\paragraph{Output arguments}\label{output-arguments}

\begin{itemize}
\item
  \texttt{X} {[} numeric {]} - Array with prior dummy observations that
  can be used in the \texttt{'BVAR='} option of the
  \href{VAR/estimate}{\texttt{VAR/estimate}} function.
\item
  \texttt{O} {[} bvarobj {]} - BVAR object that can be passed into the
  \href{VAR/estimate}{\texttt{VAR/estimate}} function.
\end{itemize}

\paragraph{Description}\label{description}

See \href{BVAR/Contents}{the section explaining the weights on prior
dummies}, i.e.~the input argument \texttt{Mu}.

\paragraph{Example}\label{example}


